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DBMS > Neo4j vs. Sphinx vs. Warp 10 vs. YugabyteDB

System Properties Comparison Neo4j vs. Sphinx vs. Warp 10 vs. YugabyteDB

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Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonSphinx  Xexclude from comparisonWarp 10  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsOpen source search engine for searching in data from different sources, e.g. relational databasesTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBaseHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelGraph DBMSSearch engineTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Score2.91
Rank#102  Overall
#51  Relational DBMS
Websiteneo4j.comsphinxsearch.comwww.warp10.iowww.yugabyte.com
Technical documentationneo4j.com/­docssphinxsearch.com/­docswww.warp10.io/­content/­02_Getting_starteddocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperNeo4j, Inc.Sphinx Technologies Inc.SenXYugabyte Inc.
Initial release2007200120152017
Current release5.19, April 20243.5.1, February 20232.19, September 2023
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache License 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageJava, ScalaC++JavaC and C++
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
Data schemeschema-free and schema-optionalyesschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesnoyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyes infopluggable indexing subsystem, by default Apache Luceneyes infofull-text index on all search fieldsnoyes
SQL infoSupport of SQLnoSQL-like query language (SphinxQL)noyes, PostgreSQL compatible
APIs and other access methodsBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Proprietary protocolHTTP API
Jupyter
WebSocket
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyes infoUser defined Procedures and Functionsnoyes infoWarpScriptyes infosql, plpgsql, C
Triggersyes infovia event handlernonoyes
Partitioning methods infoMethods for storing different data on different nodesyes using Neo4j FabricSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infobased on HBaseHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlynoneselectable replication factor infobased on HBaseBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency infobased on HBaseStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)noMandatory use of cryptographic tokens, containing fine-grained authorizationsyes
More information provided by the system vendor
Neo4jSphinxWarp 10YugabyteDB
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
YugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Systems of record and engagement for cloud native applications that require resilience,...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
Apache 2.0 license for the database
» more
News

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16 May 2024

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15 May 2024

Safeguarding Elections: How Graph Technology Powers Groundbreaking Research on Political Ads
13 May 2024

This Week in Neo4j: GraphRAG, Testcontainers, Metadata Management, App Dev and more
11 May 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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